Salesforce Architect

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

- Design, Maintain, Support and Troubleshoot LDAP infrastructure spread across geographies and used for Authentication and authorization of critical applications/infrastructure.

- Design, Maintain, Support and Troubleshoot LDAP databases running on MySQL and Berkely DB.

- Design, Maintain, Support and Troubleshoot OpenSSL OR any other crypto suite.

Interns day to day responsibilities include:

• Do the quality check for the catalogue images as per Image guidelines, to review product catalogues based on category guidelines and ensure that delivered data is 100% accurate and complete with a positive impact on customer experience.

• Do frequent checks on existing processes to help the Catalogue team achieve more consistent results with high quality and to own new projects which will aim at achieving high productivity of an individual/team.

• Populate 100% accurate content from various sources (Brand Websites, E commerce Portals, Product info Pages, Seller’s, Consumers, Companies, Subject Matter Experts) for specific as well as general information about the product through various channels (Verbal & Written communication, through on ground activities as well as through various online search techniques).

About the job

Are you passionate about finding the best talent in the Software Development industry? Do you thrive on the exhilaration of attracting top talent currently working at other companies? If so, we have an exciting opportunity for you!

What you'll do:

As a Talent Acquisition Specialist, you will play a pivotal role in our organization by managing the entire recruitment process, from crafting sourcing strategies to interviewing and hiring exceptional talent. You will collaborate closely with hiring managers and executive leadership, ensuring a robust talent pipeline to meet our strategic growth objectives. Your natural aptitude for building strong, trusting partnerships and your ability to prioritize and problem-solve with limited information will be key to your success.

Some of your tangible deliverables will include:

• Cultivating and maintaining strong relationships with passive candidates and industry leaders, establishing our organization as an employer of choice.
• Developing and executing a comprehensive recruitment strategy to attract top-notch tech talent.
• Utilizing data and analytics to measure the effectiveness of recruitment strategies and continually improving our processes.

Who you are:

• Passionate problem solver: You possess the ability to define, scope, and solve ambiguous problems, delivering clear, actionable insights.
• Self-starter: You thrive when presented with challenges, proactively identifying problems based on data and presenting innovative solutions.
• Effective communicator: You have the talent to translate complex analysis into compelling narratives, and you communicate effectively with individuals at all levels of the organization.
• Master of multitasking: You excel at setting priorities while remaining flexible in an ever-changing environment.

Skills required:

• Minimum of 5 years of experience in talent acquisition, with a proven track record of sourcing and hiring top talent in the tech industry.
• Proficiency in applicant tracking systems (ATS) and other HR technologies.
• Experience in utilizing creative sourcing methods and cold calling to identify and attract exceptional talent currently employed at other companies.
• Previous experience in working with mature startups or high-volume tech service companies is highly desirable.

Why join us:

At our company, we value the motivation and dedication of our employees. As a Talent Acquisition Specialist, you will have the opportunity to shape the future of our talent acquisition strategies and directly impact our strategic growth objectives. We foster a collaborative and inclusive culture that encourages learning from industry leaders and provides opportunities for personal and professional growth. Additionally, we offer competitive compensation packages and attractive benefits.

If you are driven by the thrill of finding extraordinary talent and are excited about contributing to our organization's success, we invite you to apply and join our dynamic team.

Are you looking for a promising career with a well known ed-tech brand, which is looking to make life easier for kids and parents to understand basic concepts of learning? Then read on.

Our client aspires for equity in education along with profound, measurable societal impact. The company provides learning solutions such as digitalized educational contents, English speaking, school infrastructure, improvement and management solutions etc. for a spectrum of audiences ranging from children in schools and informal setting, to teachers, adults, and corporate. They've created significant reach and impact at scale; through their presence across 32 States and Union Territories and 478 districts of India, in 36,000 schools and with a network of around 300 Institutes of Skills, and 100 industrial clusters, they directly impact 15 million people on a daily basis.

What you need to have:

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.