Senior Technical Specialist

Company Name

VARITE India Private Limited

About The Client

An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.

About The Job

• you will bridge the gap between complex data engineering and cutting-edge artificial intelligence.
• You will architect, build, and scale robust data pipelines while leading the integration of Machine Learning (ML) and Large Language Model (LLM) workflows into our core products.

Essential Job Functions

• Architecture & Core Engineering
• Data & AI Infrastructure: Design, implement, and maintain scalable, fault-tolerant data pipelines (ETL/ELT) and MLOps frameworks to support real-time and batch processing.
• AI Integration: Architect and deploy production-grade ML models, Generative AI applications, and Retrieval-Augmented Generation (RAG) systems.
• Data Modeling: Establish best practices for data warehousing, lakehouses, and vector databases to support both analytical and operational AI needs.
• Performance Tuning: Optimize distributed computing workloads and model inference costs for high throughput and low latency.
• Leadership & Strategy
• Team Mentorship: Guide, code-review, and mentor a team of data and ML engineers, fostering a culture of technical excellence and continuous learning.
• AI Roadmap: Partner with leadership to define the company’s AI capabilities, evaluating new frameworks, tools, and SaaS providers.
• Governance & Compliance: Define data governance, security policies, and ethical AI guidelines (e.g., data privacy, bias mitigation, model drift tracking).

Qualifications

Technical Requirements

• Programming: Mastery of Python and solid proficiency in SQL, Scala, or Java.
• Data Engineering: Deep experience with modern data stack tools like Spark, Databricks, Snowflake, dbt, and orchestrators like Apache Airflow.
• AI & Machine Learning: Practical experience deploying frameworks like PyTorch or TensorFlow, alongside GenAI tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Milvus, or Chroma).
• Cloud & DevOps: Strong hands-on experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes), specifically tailored for MLOps.

Must Have Skills

• MLOps (Machine Learning Operations)
• Google Cloud Platform (GCP)
• Kubernetes
• Snowflake
• LangChain
• PyTorch
• EXP:10-15 years

How to Apply

Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards

Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.