Apptware Solutions

2 weeks ago


Pune, India Apptware Solutions LLP Full time

About us :

Apptware has a stellar delivery organization of experienced and highly skilled individuals, with access to over 150+ data scientists, web engineers, back-end engineers, mobile engineers and UI/UX experts.

With such a breadth of skills, Apptware is able to support most of your IT needs from application and website development to providing and implementing a cloud migration road-map for your AI and machine learning projects.

Who we are :

We're a Digital Innovation Studio where technical solutions are creatively drafted. We integrate technology into your business so you remain the pioneers in your field. We transform business ideas into tangible results by developing unique software solutions. We will help you navigate the course from a great idea to a marketable product.

We believe invention beats convention. We're on a mission to empower businesses to innovate their next by providing cutting-edge solutions.

We aim to partner with organizations equally passionate about being the next big change makers.

Job description :

We are looking for an expert in data engineering, machine learning and the AWS platform to help us extract value from our data. You will extensively work in all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

The ideal candidate will be passionate about data engineering tools and technologies along with the latest developments in the AI/ML workspace.

Role and Responsibilities :

  • Around 5-6 years of experience in Machine learning, Deep learning, Statistical modelling, pyspark, data bricks, kafka (Streaming), NoSQL databases and relational databases.
  • Expert in Python coding, SQL Queries etc.
  • Must have sound knowledge of any one of the cloud platforms like AWS (PageMaker, Kinesis), GCP(Vertex AI) or MS Azure along with AI/ML services
  • Must know about docker, Kubernetes & Linux
  • A candidate should have a better understanding of end-to-end ML implementations (MLOps)
  • A candidate should have an understanding of Machine learning at scale
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution
  • Oversee the design and development of sophisticated AI and data solutions, ensuring the application of industry best practices.
  • We have demonstrated expertise in machine learning & deep learning algorithms, natural language processing (NLP), and statistical modelling, with a focus on Gen AI, LLMA 2, and NLP applications.
  • Hands-on experience with LLMA 2 frameworks and tools for large-scale language models.
  • Expertise in manipulating and analyzing big data
  • Verifying data quality, and/or ensuring it via data cleaning
  • Proficiency with Python libraries for machine learning such as sci-kit-learn and pandas
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Detailed understanding of different machine learning algorithms like regression, classification and time series forecasting.
  • Ability to select hardware to run an ML model with the required latency.
  • Ability to collaborate across teams and strong interpersonal skills.
  • Excellent written and verbal communication skills.
  • Manage and technically lead a data science team. Interact cross-functionally with various teams and work closely with engineers and business partners to identify opportunities in improving business processes.
Role : AI/ML Engineer

Industry Type : IT Services & Consulting

Functional Area : Engineering - Software

Employment Type : Full Time, Permanent

Education : M.Tech/B.E/B Tech. M.Sc, MCA in Computers.

(ref:hirist.tech)
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