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Applications open Full-Time Job

AI Developer 1

Cencora

  • Pune, India
  • Competitive Package
  • 1-3 Years
  • Posted Today
HR
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About the role

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

  • Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.
  • Design and develop AI models, algorithms, and applications based on identified requirements and use cases.
  • Apply machine learning techniques to analyse and process large datasets to extract meaningful insights.
  • Implement data pre-processing, feature engineering, and model training and evaluation pipelines.
  • Conduct exploratory data analysis to gain a deep understanding of datasets and uncover patterns and trends.
  • Optimize and fine-tune AI models to improve accuracy, performance, and scalability.
  • Integrate AI models into existing systems and applications, ensuring seamless functionality and compatibility.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure successful project execution.
  • Document and communicate project progress, results, and insights to stakeholders in a clear and concise manner.
  • Stay up to date with the latest advancements in AI, machine learning, and related technologies, and apply them to enhance existing solutions. Choose an item.
  • The employee agrees to take over additional reasonable tasks that align with their abilities, if required
  • Solid understanding of statistical analysis, data visualization, and exploratory data analysis.
  • Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
  • Ability to learn quickly and adapt to new technologies and methodologies.

Bachelor’s degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience required. Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or a related technical field required. Certification in cloud platforms, DevOps, machine learning, container orchestration, automation, or platform engineering preferred.

Certification in cloud engineering, infrastructure automation, or machine learning operations preferred.

What Cencora offers

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Full time

Affiliated Companies

Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis.

Messages and emails regarding anything other than accommodations requests will not be returned

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Machine Learning Python PyTorch TensorFlow LLMs SQL FastAPI Docker

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Machine Learning, Python, PyTorch, TensorFlow, LLMs, SQL, FastAPI, Docker) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Cencora Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Cencora as a AI Developer 1?
Highlight Cencora's market reputation, recent tech innovations, and how your skills in Machine Learning directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Cencora Competitive Package
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