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Technical Lead (Machine Learning)

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Infostretch is a digital-native professional services firm. By combining our in-depth experience with niche digital technologies, ready-made tools, frameworks, technologies, and partnerships, we help enterprises get digital right, the first time. Backed by leading private equity firms Goldman Sachs and Everstone Group, the company is trusted by leading Fortune 100 companies as well as emerging innovators to deliver solutions that work seamlessly across channels, leverage predictive analytics to optimize the software lifecycle, and support continuous innovation.
The Company has been Certified as Great Place to Work for consecutive years, thanks to it’s employee friendly culture and this has enabled consistent double digit growth.

Job Description:

Infostretch is looking for a Technical Lead with 6 + years experience with Machine Learning.

Job Dues and Responsibilities

We are a mid-sized Data Science and Engineering team looking to expand as we make a bigger impact on our application. We are looking for a passionate Machine Learning Engineer to work closely with our Data Scientists and Data Engineers to integrate and deploy models into our application’s production environment. If you have a sense of adventure, take pride in solving complex data problems, and strive to build the best products on the planet, we want you on our Big Data Engineering team!

This role would be responsible for:
? Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions.
? Creating high performance and scalable Machine Learning systems
? Building reusable production data pipelines for machine learning models
? Collaborating with Data Engineers and Data Scientist to build data and model pipelines and help in running machine learning tests and experiments
? Helping to manage the infrastructure and data pipelines needed to bring an ML solution to production
? Troubleshooting production machine learning model issues, including recommendations for retrain, revalidate, and improvements

We are seeking people who are passionate about:
? Working with data in all forms (structured, unstructured, video, audio, etc) and using it creatively to help solve problems
? Collaborating with data scientists and data engineers to make a big impact
? Staying in-tune with the big data community and encouraging the organization to utilize cuting edge
technologies to innovate and invent solutions.
?Having an impact on 2.5 million customers with innovative data science products

Skills - Experience and Requirements

You would be considered a great fit for this role if you have the following:

? Bachelor’s degree in Computer Science Engineering, Data Science, or a related technical degree.
? Software development experience using Golang or Java or Python including strong understanding of software engineering principles
?Some experience developing applications for backend. These qualifications would make you stand out among other applicants:
?Experience deploying and managing containerized applications, preferably using GCP/AWS Kubernetes Services
? Experience with big data tools and processing technologies such as Apache Spark, Apache Flink, and cloud platforms like GCP or AWS
? Experience building maintainable data pipelines for machine learning models
? Familiarity with data-oriented workflow orchestration frameworks such as Kubeflow, Airflow




Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: DE-AP-220401

Category: Engineering

Job Type: Full-Time

Location: Pune, India or Ahmedabad, India

Open Positions: 1

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