Intern - Data Science

Location: 

Pune, IN

Posting Date:  Mar 29, 2024
Job ID:  9368

About our group:

Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions.

About the role - you will:

  • Assist with implementing end to end ML pipelines and deliver scalable production Machine learning services
  • Collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
  • Leverage MLops tools to support ML workflows including experimentation, training and production operations
  • Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
  • Work on multiple streams of analytics which includes Time series , image and Tabular data
  • Work on building accelerators and ML frameworks

About you:

  • You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics
  • Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
  • You’re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
  • Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
  • Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Your experience includes:

  • Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
  • Experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
  • Experience in at least one major programming language (e.g. Python, Scala, Java) and SQL (any variant)
  • A collaborative coder, comfortable with Git and code reviews
  • Good Knowledge of data management and data mining architecture
  • Ability to proactively identify and resolve issues

Location:

Location: Pune, India
Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our 400+ employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent onsite cultural festivals, celebrations, and community volunteer opportunities.

 

Location: Pune, India
Travel: None


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About Us

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. 

We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

 

 

Seagate provides an environment where equal opportunity is available to all. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, ethnic or national origin, physical or mental disability, medical condition, genetic information, marital status, sex (which includes pregnancy or perceived pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, perceived or actual religious creed or political opinion, military and veteran status, taking or requesting statutorily protected leave, taking or requesting a reasonable accommodation for a protected basis, or other basis protected by applicable law. Company-sponsored training, education, degree assistance, and social and recreational programs are also included. EEO is the Law Poster, EEO is the Law Supplement Poster, & OFCCP Pay Transparency Provision Information.

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